Soft Computing-Based approaches for the Prediction of Compressive Strength of Lime-Microsilica Stabilized Clayey Soils
Created by W.Langdon from
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- @InProceedings{Moradi:2008:CCE,
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author = "M. Moradi and A. H. Alavi and
M. A. Pashabavandpour and A. H. Gandomi and A. Askarinejad",
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title = "Soft Computing-Based approaches for the Prediction of
Compressive Strength of Lime-Microsilica Stabilized
Clayey Soils",
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booktitle = "Proceedings of the Sixth International Symposium on
Computational Civil Engineering, Computational Models
for Civil Engineering",
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year = "2008",
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editor = "Constantin Ionescu and Alex Horia Barbat and
Rodian Scinteie and Alina Mihaela Nicuta",
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pages = "350--365",
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address = "Iasi, Romania",
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month = "30 " # may,
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organisation = "Editura Societatii Academice Matei - Teiu Botez",
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keywords = "genetic algorithms, genetic programming, Discipulus
stabilised soil, ANN, multilayer perceptron, lime,
microsilica, unconfined compressive strength",
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isbn13 = "ISBN 978-973-8955-41-7",
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URL = "http://www.intersections.ro/Conferences/CCE2008.pdf",
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size = "16 pages",
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abstract = "A range of stabilisers can be added to soil to
stabilise it such as Lime, cement, microsilica, or a
combination of these in order to improve the
engineering properties of soil. Unconfined compressive
strength (UCS) as a quality of stabilised soil is
generally determined from laboratory tests. For
appropriate selection of stabilizers and to avoid the
need for the extensive and cumbersome experimental
stabilisation tests on soils for every new construction
situation, it is desirable to develop a mathematical
model to be capable of predicting the strength from the
properties of natural soil before compaction and
stabilization and stabilizer quantities and types.
Hence, in the present study, we investigated the
application of soft computing techniques namely,
multilayer perceptron (MLP) and genetic programming
(GP) for the first time in the literature in order to
develop the mathematical models to be able to predict
the UCS of lime-microsilica stabilised clayey soils
from the influencing parameters. Subsequently, a
comparison between these methods was performed in terms
of prediction performance. The data for developing the
models were generated through an experimental study
that was conducted to obtain the UCS of some inland
clayey soils.",
- }
Genetic Programming entries for
Mohammad Hossein Moradi
A H Alavi
M A Pashabavandpour
A H Gandomi
Amin Askarinejad
Citations